The sound of silence: equilibrium filtering and optimal censoring in financial markets

  • Gietzmann M
  • Ostaszewski A
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Abstract

Following the approach of standard filtering theory, we analyse investor valuation of firms, when these are modelled as geometric-Brownian state processes that are privately and partially observed, at random (Poisson) times, by agents. Tasked with disclosing forecast values, agents are able purposefully to withhold their observations; explicit filtering formulae are derived for downgrading the valuations in the absence of disclosures. The analysis is conducted for both a solitary firm and m co-dependent firms.

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Gietzmann, M. B., & Ostaszewski, A. J. (2016). The sound of silence: equilibrium filtering and optimal censoring in financial markets. Advances in Applied Probability, 48(A), 119–144. https://doi.org/10.1017/apr.2016.45

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